Tourists’ willingness to pay for restoration of Sundarbans Mangrove forest ecosystems: a contingent valuation modeling study

Md. Hafiz Iqbal () and Md. Elias Hossain
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Md. Hafiz Iqbal: Government Edward College
Md. Elias Hossain: University of Rajshahi

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 3, No 17, 2443-2464

Abstract: Abstract The decaying trend of the Sundarbans due to loss of habitat, lack of provision of entrance fee, absence of tourism tax, and destruction of the resource base may restrict restoration of the Sundarbans mangrove forest ecosystems. We measure tourists’ willingness to pay (WTP) and revenue stream in response to the policy change of restoration schemes on a sample of (n = 607) observations. Following the random sampling technique, well-designed dichotomous choice questions were employed to elicit stated preference (SP) data toward restoration schemes of the Sundarbans mangrove forest ecosystems in selected tourist spots in the Sundarbans. It is found that age, monthly income, and years of schooling are influential factors in determining tourists’ WTP for the restoration schemes of the Sundarbans ecosystems. The estimated WTP for the restoration schemes is Bangladeshi Taka (BDT) 64.54. Investment in restoration schemes creates a guarantee to earn BDT 11.81 billion per annum. It ensures scope to collect revenue from tourists and mobilize it for the restoration schemes. This finding is robust to various alternative data, sample, and model specifications.

Keywords: Contingent valuation; Dichotomous choice; Willingness to pay; Mangrove restoration; Non-market valuation; Stated preference (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02140-w

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